Lead the development of advanced computer vision and biometric solutions for identity verification.
Design, train, and scale production-grade machine learning systems with end-to-end pipeline ownership.
Collaborate with cross-functional teams to build reliable, ethical, and scalable AI systems with global impact.
The partner company develops advanced identity verification and digital trust solutions using AI. It is a growing technology organization with a collaborative and inclusive culture that values diverse perspectives and professional backgrounds.
Build and improve ML/CV models, including retraining and optimizing for Samsara-specific problems.
Work with petabyte-scale data from camera and sensor devices to develop new models.
Partner with firmware and full-stack teams to deploy models for optimal performance and cost.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for actionable insights to improve safety, efficiency, and sustainability. As a public company with over 2.3 million IoT devices deployed globally, Samsara fosters a culture of growth mindset, inclusivity, and teamwork.
Design, develop, and deploy ML models, including large language models, for various NLP tasks.
Collaborate with cross-functional teams to gather requirements, define architectures, and iterate on model development.
Stay up-to-date with latest research and contribute to best practices for responsible ML development.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active users, it is one of the internet's largest sources of information, fostering a culture of authenticity and community.
Design and develop back-end AI-powered applications and services using enterprise platforms.
Build and integrate LLMs and multi-agent systems with frameworks like Semantic Kernel and LangChain.
Collaborate with cross-functional teams to deliver end-to-end AI solutions, ensuring compliance with GDPR and Responsible AI guidelines.
Version 1 is a technology and transformation consultancy trusted by global brands, with deep expertise in Microsoft, AWS, Oracle, and other technologies. They are a 3300+ employee company with €350m revenue, recognized as a Great Place to Work in Ireland and UK for over 10 years.
Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients.
Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration.
Mentor and support other ML engineers on the team with code reviews, technical guidance, and knowledge sharing.
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote team of 11+ people, partnering with unicorns and NASDAQ-listed companies, and have a culture of autonomy, open communication, and continuous learning.
Develop and implement AI-based data assimilation systems to improve weather forecasting.
Design data pipelines and integrate diverse observational datasets for model training and evaluation.
Communicate findings and collaborate with NOAA scientists to ensure robust system deployment.
Lynker provides professional, scientific, and technical services, specializing in hydrology, geospatial analysis, IT, and resource management. As an employee-owned business, they foster a collaborative culture of skilled professionals focused on creative solutions.
Lead efforts in engineering, building, testing, and deploying advanced cloud-enabled AI/ML solutions for surveillance, targeting, and engagement operations.
Partner with project managers and engineering teams to define objectives for UI/UX systems and develop prototypes to address mission-specific requirements.
Conduct rigorous testing, analyze test data, and refine systems to ensure robustness, scalability, and cyber resilience.
Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. Founded in 2008, the company has over 17 years of experience and a corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation.
Lead the development and optimization of Large Language Models and Mixture of Experts models.
Collaborate with cross-functional teams to integrate ML models into our platform and conduct cutting-edge research in machine learning.
Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.
webAI is an end-to-end private AI platform that enables enterprises and governments to bring AI to their data, powering specialized intelligence trained on their own knowledge. The company is a dynamic, fast-growing team fostering an exciting and growth-oriented work culture, committed to truth, ownership, tenacity, and humility.
Lead the design and operation of production machine learning systems for batch and online use cases with a focus on reliability and scalability.
Build and improve ML lifecycle infrastructure including training pipelines, inference workflows, monitoring, and automation.
Partner with cross-functional teams to translate business problems into ML solutions and guide prototypes to robust production systems.
Included Health is a healthcare company delivering integrated virtual care and navigation, aiming to raise the standard of healthcare for everyone. They are a remote-first organization offering comprehensive benefits and fostering a culture of inclusion.
Lead and scale a team building next-generation AI evaluation infrastructure.
Define strategy and roadmap for evaluation platform including benchmark design and quality monitoring.
Drive innovation in evaluation methodologies like agentic and multi-turn assessment.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter. The company fosters an AI-native culture where technology and talent are unstoppable together.